Method And System For Predicting Successful Treatment Methods And Outcomes Of Bodily Tissue Disorders Based On Energy Activity Of The Tissue

ABSTRACT

A method of predicting successful treatment of disorders of bodily tissue includes obtaining, with a device, energy signal data from the bodily tissue of a patient. The obtained energy signal data is analyzed in a controller to determine an activity score value associated with the bodily tissue. The activity score value is compared, in the controller, to a threshold value, with the threshold value being based on energy signal data from the same bodily tissue of normal, disease free patients. Based on the comparison, a probability of success of the specific treatment for the specific disease is predicted in the controller prior to treating the bodily tissue. A system for performing the method is also disclosed.

This application is a continuation of application Ser. No. 15/598,131, filed on May 17, 2017 which claims priority from U.S. Provisional Application No. 62/338,050, filed on May 18, 2016, the content of which is hereby incorporated by reference in its entirety herein.

BACKGROUND

U.S. Pat. No. 7,160,254, hereby incorporated by reference in its entirety herein, discloses an Electrogastrogram (EGG) system and method to gather and evaluate myoelectric signals from intra-abdominal organs and other motility based organs. The EGG system aids in the diagnosis of organ disorders upon analyzing the EGG data. Although the EGG system is well suited for its intended purpose, there is a need to be able to predict, with high accuracy, organ disorders based on electrical signal data obtained from the organ.

SUMMARY

An objective of the embodiment is to fulfill the need referred to above. In accordance with the principles of the embodiment, this objective is achieved by providing a method of predicting successful treatment of disorders of bodily tissue includes obtaining, with a device, energy signal data from the bodily tissue of a patient. The obtained energy signal data is analyzed in a controller to determine an activity score value associated with the bodily tissue. The activity score value is compared, in the controller, to a threshold value, with the threshold value being based on energy signal data from the same bodily tissue of normal, disease free patients. Based on the comparison, a probability of success of a particular therapy in treating the bodily tissue is determined.

In accordance with another aspect of an embodiment, a method predicts successful treatment of disorders of bodily organs by performing an electrogastrogram on a bodily organ of a patient. An activity score value associated with the bodily organ based on data from the electrogastrogram is determined in a controller. The controller compares the activity score value to a threshold value, with the threshold value being based on electrogastrogram data from the same bodily organ of normal, disease free patients. Based on the comparison, a probability of success of a particular therapy in treating the bodily organ is determined.

In accordance with yet another aspect of an embodiment, a system for predicting successful treatment of disorders of bodily tissue includes at least one sensor constructed and arranged to obtain energy signal data from the bodily tissue of a patient. A controller, having a processor circuit, is constructed and arranged to 1) determine an activity score value associated with the bodily tissue based on data from the at least one sensor, and 2) compare the activity score value to a threshold value, with the threshold value being based on energy signal data from the same bodily tissue of normal, disease free patients to determine, based on the comparison, a probability of success of a particular therapy for treating the bodily tissue. The system can also include therapy delivery structure constructed and arranged to deliver the particular therapy to the bodily tissue.

Other objectives, features and characteristics of the present embodiment, as well as the methods of operation and the functions of the related elements of the structure, the combination of parts and economics of manufacture will become more apparent upon consideration of the following detailed description and appended claims with reference to the accompanying drawings, all of which form a part of this specification.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention will be better understood from the following detailed description of the preferred embodiments thereof, taken in conjunction with the accompanying drawings, wherein like reference numerals refer to like parts, in which:

FIG. 1 a block diagram of an EGG system provided in accordance with an embodiment.

FIG. 2. is a flowchart of method steps of an embodiment.

FIG. 3 is a block diagram of a device for predicting successful treatment of disorders of bodily tissue and for delivering therapy to the bodily tissue in accordance with and embodiment.

FIG. 4 shows TABLE 1, “Associations of Post-Dilation Success (%-Emptying>60% at 120 Mins) with Predilation 3CPM Activity and Model Fit (logistic regression model results)”.

FIG. 5 shows TABLE 2, “Classification with a threshold cutoff of Pr(S)>=0.59 (Activity Threshold)”.

FIG. 6 shows Graph 1, “Linear regression analysis of the association of Post-Dilation Success”.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

It is known from U.S. Pat. No. 7,160,254 that EGG and water load test accurately detects functional gastric outlet obstruction with associated gastroparesis. In addition, balloon dilation of the pylorus, in addition to other pyloric therapies, has been shown to correct gastroparesis. With reference to TABLES 1, 2 and Graph 1, as shown in FIGS. 4-6, respectively, and, in accordance with the embodiment, EGG data and data from balloon dilation of the pylorus can be used to predict when balloon dilation should be used to correct gastroparesis.

With reference to TABLE 2 in FIG. 5, a Activity Threshold is established based upon 3CPM (cycles per minute) frequency data from the stomach of normal, disease free patients. In the example, if the Activity Score > or =0.59 (Activity Threshold), there is a 96.15% chance of successful treatment of gastroparesis by balloon dilation of the patient's pylorus (See TABLE 2). If the Activity Score obtained in below the Activity Threshold of 0.59, balloon dilation of the pylorus should not be performed since, based on this predictive model, it will not help the patient.

The linear regression analysis in Graph 1 of FIG. 6 demonstrates the derivation of gastricmyoelectrical motor activity (GMA) 3 cpm threshold (GMAT) predicted gastric emptying normalization and symptomatic improvement after pyloric balloon dilation. GMAT sensitivity and specificity predicting normalization were 96.15% and 75.00% respectively with 93.33% of patients correctly classified. Graph 1 shows Linear regression analysis of the association of Post-Dilation Success (% Emptying >60% at 120 minutes) with Pre-Dilation 3 cpm Activity and Model Fit, Joint Activity Score Linear Regression: −8.299+0.128(3 cpm0 min)+0.210*(3CPM10 min)+0.074*(3 cpm20 min)−0.073*(3 cpm30 min), Threshold value >0.59

The Activity Score and baseline Activity Threshold calculation will serve as the starting point for looking at potentially all possible treatments of all disorders affecting stomach emptying and/or function.

Based on EGG data obtained and the post-dilation success, a formula has been determined using statistical analysis and linear regression to predict the success of the balloon dilation treatment of the pylorus.

The formula is as follows:

Activity Score=−8.299+0.128*(3CPM0 min)+0.210*(3CPM10 min)+0.074*(3CPM20 min)−0.073*(3CPM30 min), where 3CPM is a measure of a level of 3CPM frequency activity of the bodily organ at the indicated time period in minutes.

An example of the method steps for predicting success of treatment of bodily organs are:

-   -   1. Perform EGG of any type or more specifically with water load         to obtain gastric motility data from a bodily organ.     -   2. Data is analyzed for levels of 3CPM activity as well as         tachygastria and bradygastria.     -   3. The data is collected and incorporated and analyzed using the         developed formula to provide a resultant Activity Score.     -   4. The Activity Score is scaled against an established Activity         Threshold based upon EGG data from the bodily organ of normal,         disease free patients.     -   5. If the level of the Activity Score is above a treatment and         disease specific determined threshold (Activity Threshold),         therapy is reported as having a high or low probability of         success.     -   6. Operator selects disease or state of gastric disorder and         type of intended therapy.     -   7. Operator activates calculation key/icon.     -   8. Device provides information regarding the treatment and         likelihood of success for the given disorder.

An example of the EGG System for obtaining and processing the EGG data of the method can be of the type disclosed U.S. Pat. No. 7,160,254. Thus, as shown in FIG. 1, the system 10 includes electrodes 12 (preferably two or three) and a respiratory sensor 14 connected to a single Signal Processing Module 16 (SPM). A standard instrumentation amplifier 18 provides the first gain stage for the electrode(s) signal 17. A high pass filter 20 provides additional gain and is followed by a low pass filter 22. The respiration signal 19 is filtered by low pass filter 21 and is then passed on to a 16-bit A/D converter 24. The electrode signal 17 is also passed to the on board 16-bit A/D converter 24. A digitized electrode signal 17′ and a digitized respiration signal 19′ are each passed to a micro-controller 26, which coordinates data transfer to a host computer 28 and printer 30 via a standard Universal Serial Bus (USB) connection, or a wireless signal transmitter 32. The A/D converter 24 can be part of the microcontroller 26. In this embodiment, the micro-controller 26 includes a processor circuit 27 that determines the Activity Score via the formula noted above. Thus, the micro-controller or control device 26 can be considered a processing device. Micro-controller 28 also includes storage 28 that provides enough on-board memory to store an entire exam's worth of data for later download. Optical isolation 36 is necessary for any hardwired (e.g., cable connected) communication system for patient electrical isolation; the wireless system enhances patient isolation but at considerable additional cost and complexity. Power is provided by power supply 34. A display 38 displays data to an operator.

Examples of use of the system and method described herein include, but are not limited to:

Example A

-   -   1. Perform EGG study     -   2. Obtain EGG data and analyze data using standardized         methodology     -   3. Select disease state: Gastroparesis     -   4. Select intended treatment method: Balloon Dilation Pylorus     -   5. Activate calculation key/icon     -   6. Numeric value of Activity Score at or above Activity         Threshold for Successful Dilation of Pylorus, then:         -   a. Perform dilation     -   7. Numerical value of Activity Score below Activity Threshold         for Successful Dilation of Pylorus, then:         -   a. Do not perform dilation, investigate other modalities             -   i. BOTOX injection, pacemaker, etc.

Example B

-   -   1. Perform EGG study     -   2. Obtain EGG data and analyze data using standardized         methodology     -   3. Select disease state: Gastroparesis     -   4. Select intended treatment method: Pacemaker     -   5. Activate calculation key/icon     -   6. Numeric value of Activity Score above Activity Threshold for         pacemaker insertion success, then:         -   a. Place pacemaker     -   7. Numerical value of Activity Score below Activity Threshold         for pacemaker insertion success, then:         -   a. Do not place pacemaker, investigate other modalities             -   i. BOTOX injection, dilation, medication, etc.

Example C

-   -   1. Perform EGG study     -   2. Obtain EGG data and analyze data using standardized         methodology     -   3. Select disease state: Bradygastria, good 3CPM signal     -   4. Select intended treatment method: Metoclopramide medication     -   5. Activate calculation key/icon     -   6. Numeric value of Activity Score at or above Activity         Threshold for Metoclopramide success, then:         -   a. Put patient on medication     -   7. Numerical value of Activity Score below Activity Threshold         for Metoclopramide success, then:         -   b. Do not give Metoclopramide, investigate other modalities             -   i. Alternative medication, etc.

Although the embodiments and examples above have been described using the conventional EGG system to obtain electrical activity data from an organ, any method or system of obtaining electrical data from any bodily tissue can be employed to obtain the data.

An example of an algorithm for performing steps of an embodiment of the invention is shown in FIG. 2. In step 200, electrical signal data is obtained from bodily tissue of a patient. An EGG system or any other electrical signal obtaining system can be employed. In step 210, the data obtained is analyzed preferably using the above defined formula, or other similarly obtained formula specific to data of the bodily tissue, to obtain a resultant activity score (e.g., Activity Score as noted above). In step 220, the Activity Score is compared to a threshold (e.g., the Activity Threshold as noted above). The threshold is based on electrical activity data from the same bodily tissue of normal, disease free patients. In step 230, based on the comparison, a probability of success of a particular therapy is determined. The therapy can by any known therapy such as drug delivery, surgery, dilation, energy treatment, etc. For example, if the Activity Score is above the Activity Threshold, success of the therapy is likely and thus is performed. However, if the Activity Score is below the Activity Threshold, success of the therapy is unlikely and thus, should not be performed.

As used herein, “bodily tissue” can include bodily organs or tissue that comprises non-organ parts of the body. For example, besides organs, the tissue can be bones, muscles, and nerves. Tissue can include joints and articulations that are combinations of tissues.

Every tissue has its own specific electrical signal or generated electromagnetic field, which likely conveys health and disease information. Distinguishing healthy signals from disease signals or fields via calculations allows identification of healing point goals. Therapy, such as energy, returned to “tune” the field back to normal can then be applied to effect healing. As used herein, energy is a very broad term and can be used to mean electrical, magnetic, radiation, heat, light, vibration or other yet unknown forms of energy. Transmission of the energy can include: direct contact, and/or transmission via or through a medium such as air, water, etc.

With reference to FIG. 3, the above steps can be implemented by using a physical, handheld device 10′ that, as an example, can include all elements of the device 10 of FIG. 1. Thus, device 10′ includes the micro-controller 26 and processing circuit 27, but can also include therapy delivery structure 40 configured to deliver the therapy, as noted above, to the defective organ. The device 10′ is also configured to obtain energy signal data from the electrodes or sensors 12. As also noted above, the device 10′ and method is not limited motility based organs and can be employed with any bodily tissue from which energy data signals can be obtained.

There are conventional devices that influence tissues by delivery of energy. These devices usually deliver metered amounts of energy over specific time based upon clinical studies demonstrating effect. For example, a bionicaire knee device delivers electric 7.5 CPM energy via direct contact which will regrow knee cartilage. A Stretta device delivers radio-frequency energy which generates heat in tissue and causes esophageal muscle to grow. A similar device in the bronchi delivers 65 degree centigrade heat to change bronchial smooth muscle.

The device 10′ of the embodiment is different from these conventional devices since it measures the health or disease of the tissue/organ, then delivers metered and monitored therapy (e.g., such as energy noted above) with expected success rates based upon algorithmic calculations for desired effect. For example, 3CPM EGG signals directly correlate with integrity of the ICC (interface cells required for healthy function of contraction). Level of 3CPM calculates success of electrical stimulation in correcting gastroparesis using a stimulator.

The device 10′ and method disclosed herein, at a more basic level, distinguishes disease states based upon obtaining energy (e.g., electrical, magnetic, radiant or other types of energy) signal data from abnormal tissue, compares the obtained data against normal tissue data, and calculates rates of successful treatment of the abnormal tissue and if therapy is calculated to be successful, delivers energy to the tissue to return of the tissue to normal energy levels associated with health. For example, after certain amount of time using stimulation of abnormal tissue, a healthy signal returns to the tissue and stimulation is no longer needed. In the example disclosed above, pyloric dilation corrects obstruction and allows tissue energy levels to return to normal. Obtaining of the energy signal data from the tissue and the administration of the therapy need not to be from a direct connection with the tissue. Air transmission at a distance from the tissue and other transmission methods are contemplated.

The device 10′ senses or obtains energy of tissues and determines abnormal tissue or tissue that is out of place. The device 10′ can include an EGG system that can detect alternate energy levels consistent with other diseases such as endometriosis in the abdomen, tumors, etc.

The operations and algorithms described herein can be implemented as executable code within the micro-controller or control device 26 having processor circuit 27 as described, or stored on a standalone computer or machine readable non-transitory tangible storage medium that are completed based on execution of the code by a processor circuit implemented using one or more integrated circuits. Example implementations of the disclosed circuits include hardware logic that is implemented in a logic array such as a programmable logic array (PLA), a field programmable gate array (FPGA), or by mask programming of integrated circuits such as an application-specific integrated circuit (ASIC). Any of these circuits also can be implemented using a software-based executable resource that is executed by a corresponding internal processor circuit such as a micro-processor circuit (not shown) and implemented using one or more integrated circuits, where execution of executable code stored in an internal memory circuit causes the integrated circuit(s) implementing the processor circuit to store application state variables in processor memory, creating an executable application resource (e.g., an application instance) that performs the operations of the circuit as described herein. Hence, use of the term “circuit” in this specification refers to both a hardware-based circuit implemented using one or more integrated circuits and that includes logic for performing the described operations, or a software-based circuit that includes a processor circuit (implemented using one or more integrated circuits), the processor circuit including a reserved portion of processor memory for storage of application state data and application variables that are modified by execution of the executable code by a processor circuit. The memory circuit 28 can be implemented, for example, using a non-volatile memory such as a programmable read only memory (PROM) or an EPROM, and/or a volatile memory such as a DRAM, etc.

The foregoing preferred embodiments have been shown and described for the purposes of illustrating the structural and functional principles of the present invention, as well as illustrating the methods of employing the preferred embodiments and are subject to change without departing from such principles. Therefore, this invention includes all modifications encompassed within the spirit of the following claims. 

What is claimed is:
 1. A method of predicting successful treatment of disorders of bodily tissue including tissue of bodily organs, bones, muscles, bodily joints or nerves having a specific electrical signal or generated electromagnetic field, the method comprising the steps of: obtaining, with a device located externally of the body, energy signal data from the bodily tissue of a patient including a specific electrical signal or electromagnetic field of the bodily tissue; analyzing, in a controller, the obtained energy signal data and calculating with a formula derived by linear regression, an activity score value associated with success of treating the bodily tissue; comparing, in the controller, the activity score value to a specific disease and specific treatment threshold value, with the specific disease and specific treatment threshold value being based on energy signal data including a specific electrical signal or electromagnetic field from the same bodily tissue of normal, disease free patients; and based on the comparison, predicting, in the controller, a probability of success of the specific treatment for the specific disease prior to treating the bodily tissue.
 2. The method of claim 1, wherein, if the comparison indicates a likelihood of success of the specific treatment, the method further includes: delivering energy in the form of electrical or magnetic energy to the bodily tissue, without direct connection with the bodily tissue, as the specific treatment to restore normal electrical or magnetic energy patterns to the bodily tissue and effect healing of the bodily tissue.
 3. The method of claim 1, wherein the analyzing step incudes using a processor circuit in the controller to execute the formula to determine the activity score value.
 4. The method of claim 2, wherein the step of delivering energy includes using a device to deliver the energy, the device including the controller.
 5. A system for predicting successful treatment of disorders of bodily tissue including tissue of bodily organs, bones, muscles, bodily joints or nerves having a specific electrical signal or generated electromagnetic field, the system comprising: at least one sensor constructed and arranged to be placed externally of the body to obtain energy signal data from the bodily tissue of a patient including a specific electrical signal or electromagnetic field of the bodily tissue; and a controller having a processor circuit constructed and arranged to 1) calculate with a formula derived by linear regression, an activity score value associated with success of treating the bodily tissue based on data from the at least one sensor, 2) compare the activity score value to a specific disease and specific treatment threshold value, with the specific disease and specific treatment threshold value being based on energy signal data including a specific electrical signal or electromagnetic field from the same bodily tissue of normal, disease free patients, 3) to predict, based on the comparison, a probability of success of the specific treatment for the specific disease prior to treating the bodily tissue.
 6. The system of claim 5, wherein the at least one sensor is constructed and arranged to obtain at least one of a magnetic energy signal data, radiant energy signal data, or electrical energy signal data.
 7. The system of claim 5, wherein the at least one sensor includes electrodes.
 8. The system of claim 5, further comprising a therapy delivery structure constructed and arranged to deliver energy in the form of electrical or magnetic energy as the specific treatment to the bodily tissue without direct connection with the bodily tissue, to restore normal electrical or magnetic energy patterns to the bodily tissue and effect healing of the bodily tissue.
 9. The system of claim 8, wherein the at least one sensor, the controller and therapy delivery device are proved in a single handheld device. 